Introduction

An Extensive JavaScript Standard Library.

Features

Simple & Familiar API with some differences
Cross-Environment Compatibility: Execute seamlessly in browsers, Node.js, Bun, Deno, etc.
Practical Default Options
Includes Async Utils
TypeScript Support
Works with both CJS & ESM
Supports some Older Browsers & Node.js >= 16

Installation

pnpm add @opentf/std

Usage

Let’s explore some of the library’s capabilities:

Checking if a Value is Numeric:

import { isNum } from "@opentf/std";
 
isNum(NaN); //=> false
isNum('1'); //=> false
isNum('1', true); //=> true
isNum(1); //=> true

Converting Strings to Pascal Case:

import { pascalCase } from "@opentf/std";
 
pascalCase("pascal case"); //=> PascalCase

Sorting an Array in Descending Order:

import { sort } from "@opentf/std";
 
sort([1, 10, 21, 2], "desc"); //=> [21, 10, 2, 1]

Deep Cloning an Object:

import { clone } from "@opentf/std";
 
const obj = { a: 1, b: "abc", c: new Map([["key", "val"]]) };
clone(obj); // Returns deeply cloned value

Checking Equality of Objects & Arrays:

import { isEql, isEqlArr } from "@opentf/std";
 
isEql({a: 1}, {a: 1}); //=> true
 
const mapA = new Map([["a", 1], ["b", 2]]);
const mapB = new Map([["b", 2], ["a", 1]]);
isEql(mapA, mapB); //=> false
 
// Compare Arrays ignoring order
isEqlArr([1, 2, 3], [2, 3, 1]); //=> true
isEqlArr([1, 2, 3], [1, 2, 5]); //=> false

Adding a Delay (1 second) with sleep:

import { sleep } from "@opentf/std";
 
await sleep(1000); // Suspends execution for 1 second

Functions composition using pipe & compose functions:

import { pipe, compose } from "@opentf/std";
 
pipe(
  1,
  (x) => x + 1,
  (x) => x * 5
); //=> 10
 
compose(
  1,
  (x) => x + 1,
  (x) => x * 5
); //=> 6

Pick & Omit Paths in an Object

import { pick omit } from '@opentf/std';
 
const obj = { a: 1, b: 2, c: 3 };
 
pick(obj, 'a', 'c'); //=> { a: 1, c: 3 }
 
omit(obj, 'a', 'c'); //=> { b: 2 }

💡

You can try out these examples on the Playground.

Benchmarks

Some benchmark outputs are shown here for reference.

Our priorities are reliability and accuracy rather than performance.

clone:
┌───┬──────────────────────────┬─────────┬────────────────────┬────────┬─────────┐
│   │ Task Name                │ ops/sec │ Average Time (ns)  │ Margin │ Samples │
├───┼──────────────────────────┼─────────┼────────────────────┼────────┼─────────┤
│ 0 │ structuredClone (Native) │ 276,824 │ 3612.3959469709525 │ ±1.29% │ 27683   │
│ 1 │ _.cloneDeep (Lodash)     │ 216,965 │ 4609.032953864744  │ ±2.41% │ 21697   │
│ 2 │ R.clone (ramda)          │ 174,567 │ 5728.439422580611  │ ±1.92% │ 17457   │
│ 3 │ R2.clone (remeda)        │ 310,268 │ 3223.0154703960834 │ ±2.40% │ 31027   │
│ 4 │ cloneDeep (clone-deep)   │ 468,908 │ 2132.611673882092  │ ±1.70% │ 46891   │
│ 5 │ copy (fast-copy)         │ 486,179 │ 2056.852050680814  │ ±1.91% │ 48618   │
+ 6 │ clone                    │ 535,302 │ 1868.1028376072306 │ ±2.07% │ 53531   │
└───┴──────────────────────────┴─────────┴────────────────────┴────────┴─────────┘
*Note:
    - Here the lodash does not support errors, sparse arrays & objects in map keys.
 
    - Here the ramda & remeda does not support cloning Map & Set.
 
    - The fast-copy does not clone objects within Map, buffers in TypedArray, sparse arrays.
 
    - The clone-deep does not handle circular refs, does not clone objects within map,
    sparse arrays, internal refs within the object, TypedArray buffers & DataView.
 
sortBy:
┌───┬────────────────────┬───────────┬───────────────────┬────────┬─────────┐
│   │ Task Name          │ ops/sec   │ Average Time (ns) │ Margin │ Samples │
├───┼────────────────────┼───────────┼───────────────────┼────────┼─────────┤
│ 0 │ _.orderBy (Lodash) │ 1,231,295 │ 812.1529684071648 │ ±3.09% │ 123130  │
│ 1 │ R.sortWith (Ramda) │ 1,279,200 │ 781.7380570822326 │ ±2.27% │ 127921  │
│ 2 │ R2.sortBy (Remeda) │ 1,419,707 │ 704.3703291518029 │ ±2.81% │ 141971  │
│ 3 │ sort (Moderndash)  │ 2,697,568 │ 370.7042634668106 │ ±1.82% │ 269757  │
+ 4 │ sortBy             │ 2,728,366 │ 366.5196435965459 │ ±2.19% │ 272837  │
└───┴────────────────────┴───────────┴───────────────────┴────────┴─────────┘
 
*Note: Here the Moderndash does not support passing object prop as string.
 
isEql:
┌───┬─────────────────────────────────────┬─────────┬────────────────────┬────────┬─────────┐
│   │ Task Name                           │ ops/sec │ Average Time (ns)  │ Margin │ Samples │
├───┼─────────────────────────────────────┼─────────┼────────────────────┼────────┼─────────┤
│ 0 │ deepStrictEqual (Native)            │ 950,686 │ 1051.871609041841  │ ±0.24% │ 95069   │
│ 1 │ fastDeepEqual (fast-deep-equal/es6) │ 652,611 │ 1532.3058134904193 │ ±1.49% │ 65262   │
│ 2 │ dequal                              │ 120,791 │ 8278.7573675501    │ ±0.74% │ 12080   │
│ 3 │ _.isEqual (Lodash)                  │ 152,075 │ 6575.660376117521  │ ±2.02% │ 15208   │
│ 4 │ R.equals (Ramda)                    │ 51,496  │ 19418.976504855284 │ ±1.70% │ 5150    │
+ 5 │ isEql                               │ 104,355 │ 9582.655710998957  │ ±1.13% │ 10436   │
└───┴─────────────────────────────────────┴─────────┴────────────────────┴────────┴─────────┘
 
*Note:
 
  - The native util `deepStrictEqual` not available in browsers, does not check `Map` ordering & same invalid dates.
  - The `fast-deep-equal/es6` does not support cyclic refs, Map ordering check, invalid dates, symbols, objects values in Set & TypedArrays.
  - The lodash `isEqual` having issues with Map &  does not check `Map` ordering & object values in `Set`.
  - The ramda `equals` does not check `Map` ordering & symbols.
  - The dequal does not support cyclic refs, Map ordering, symbols & same invalid dates.

Running benchmarks

$ bun run build
$ bun benchmark.js

Articles

Please read our important articles:

arrIns